import pandas as pd
from sklearn.cluster import DBSCAN
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import io
from sklearn.linear_model import LinearRegression
from sklearn import tree
df = pd.read_csv("employee_attrition_test2.csv")
df.head()
#romove from data all nulls values
df=df.dropna(axis=0,how='any')
df.describe()
| Unnamed: 0 | Age | DailyRate | DistanceFromHome | Education | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | HourlyRate | JobInvolvement | ... | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.0 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | ... | 324.000000 | 324.0 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.000000 | 324.000000 |
| mean | 215.364198 | 38.117284 | 788.490741 | 9.583333 | 2.962963 | 1.0 | 1039.549383 | 2.827160 | 63.864198 | 2.808642 | ... | 2.817901 | 80.0 | 0.734568 | 12.129630 | 2.787037 | 2.777778 | 7.290123 | 4.373457 | 2.626543 | 4.450617 |
| std | 125.547408 | 8.918889 | 397.753883 | 8.121132 | 0.940252 | 0.0 | 596.590006 | 1.076517 | 19.376506 | 0.695264 | ... | 1.093544 | 0.0 | 0.785261 | 7.735679 | 1.264306 | 0.754758 | 6.432485 | 3.689082 | 3.786816 | 3.700142 |
| min | 1.000000 | 18.000000 | 106.000000 | 1.000000 | 1.000000 | 1.0 | 20.000000 | 1.000000 | 30.000000 | 1.000000 | ... | 1.000000 | 80.0 | 0.000000 | 0.000000 | 0.000000 | 1.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 |
| 25% | 107.750000 | 31.750000 | 458.750000 | 2.000000 | 2.000000 | 1.0 | 493.250000 | 2.000000 | 48.000000 | 2.000000 | ... | 2.000000 | 80.0 | 0.000000 | 7.000000 | 2.000000 | 2.000000 | 3.000000 | 2.000000 | 0.000000 | 2.000000 |
| 50% | 215.500000 | 37.000000 | 773.000000 | 7.500000 | 3.000000 | 1.0 | 1037.500000 | 3.000000 | 63.000000 | 3.000000 | ... | 3.000000 | 80.0 | 1.000000 | 10.000000 | 3.000000 | 3.000000 | 5.500000 | 3.000000 | 1.000000 | 3.000000 |
| 75% | 319.250000 | 44.000000 | 1127.750000 | 15.000000 | 4.000000 | 1.0 | 1573.250000 | 4.000000 | 79.000000 | 3.000000 | ... | 4.000000 | 80.0 | 1.000000 | 16.000000 | 3.000000 | 3.000000 | 9.000000 | 7.000000 | 4.000000 | 7.000000 |
| max | 439.000000 | 60.000000 | 1499.000000 | 29.000000 | 5.000000 | 1.0 | 2065.000000 | 4.000000 | 100.000000 | 4.000000 | ... | 4.000000 | 80.0 | 3.000000 | 40.000000 | 6.000000 | 4.000000 | 40.000000 | 18.000000 | 15.000000 | 17.000000 |
8 rows × 27 columns
print('''employee_attrition_test2 description:
1-BusinessTravel:consist of Travel rarely,Travel_Frequently,Non-Travel
2-EducationField:consist of Life Sciences,Medical,Technical Degree,Marketing,Human Resources
3-gender: Male/Female
4-Age: employee age in years
5-JobRole: Sales Executive,Research Scientist ,Laboratory Technician,Manufacturing Director
,Healthcare Representative ,Manager, Research Director,Human Resources,
Sales Representative
6-MaritalStatus:Married ,Single,Divorced '''
)
employee_attrition_test2 description: 1-BusinessTravel:consist of Travel rarely,Travel_Frequently,Non-Travel 2-EducationField:consist of Life Sciences,Medical,Technical Degree,Marketing,Human Resources 3-gender: Male/Female 4-Age: employee age in years 5-JobRole: Sales Executive,Research Scientist ,Laboratory Technician,Manufacturing Director ,Healthcare Representative ,Manager, Research Director,Human Resources, Sales Representative 6-MaritalStatus:Married ,Single,Divorced
"""**Anomaly** **Detection** **algorithem**
"""
# Extract two column for the algorithem and convert them to numpy array
dbscanData = df[['DailyRate','MonthlyIncome']]
dbscanData = dbscanData.values.astype('float32',copy=False)
dbscanData
# potting data before detecting outliears
plt.scatter(dbscanData[:,0], dbscanData[:,1])
plt.show()
# determining the epsilon and min samples per cluster
dbscan = DBSCAN(eps = 150, min_samples = 3)
# fit data to the model
pred = dbscan.fit_predict(dbscanData)
# determine outliers
outliers = np.where(pred == -1)
values = dbscanData[outliers]
# potting data after detecting outliears
plt.scatter(dbscanData[:,0], dbscanData[:,1])
plt.scatter(values[:,0], values[:,1], color='r')
plt.show()
"""Visualization"""
#get for each Job Rule number of males that work over time and i used histogram to help me use many columns
x=df.loc[(df["Gender"] == "Male") & (df["OverTime"]=='Yes')]
p=sns.histplot(y="JobRole",data=x)
p.set_title("Male Job Rule that work over time")
Text(0.5, 1.0, 'Male Job Rule that work over time')
"""Visualization"""
#get martial status for female that work more than 7 years in company and i used pie chart to clarify percentage of martial status and i have less than 5 columns
y=df.loc[(df["Gender"] == "Female") & (df["TotalWorkingYears"] > 7) ]
arr1 = np.array(y[y["MaritalStatus"]=="Divorced"].count())
arr2 =np.array(y[y["MaritalStatus"]=="Married"].count())
arr3=np.array(y[y["MaritalStatus"]=="Single"].count())
res = []
for i in arr1:
if i not in res:
res.append(i)
for i in arr2:
if i not in res:
res.append(i)
for i in arr3:
if i not in res:
res.append(i)
plt.pie(res,labels=["Divorced","Married","Single"],autopct='%1.1f%%')
plt.title("Martial Status for Female")
plt.show()
"""Text **mining**"""
import nltk
import pandas as pd
import string
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import PorterStemmer, WordNetLemmatizer
nltk.download('stopwords')
nltk.download('punkt')
nltk.download("vader_lexicon")
nltk.download('wordnet')
nltk.download('omw-1.4')
from nltk.sentiment import SentimentIntensityAnalyzer
#read data from file
with open('test.txt') as f:
contents = f.readlines()
sentences = list(contents)
# Removing punctuation from data
for sentence in sentences:
sentence=sentence.lower()
print("\nOriginal Sentence: " + sentence)
result = sentence.translate(str.maketrans('', '', string.punctuation))
print("After removing punctuation: " + result)
# Tokenization
tokenizedText = []
for sentence in sentences:
split_sentence_towords = word_tokenize(sentence)
tokenizedText.append(split_sentence_towords)
for sentence in tokenizedText:
print(sentence)
# Stop Words
stopWords = set(stopwords.words('english'))
for sentence in tokenizedText:
print("\nSentence: ", sentence)
for word in sentence:
if word in stopWords:
sentence.remove(word)
print("After removing stop words: ", sentence)
# Lemmatization
word_lemm = WordNetLemmatizer()
for sentence in tokenizedText:
l_list = []
print("\nWords: ", sentence)
for word in sentence:
l_list.append(word_lemm.lemmatize(word))
print("After Lemmatization: ", l_list)
# Stemming
word_stemmer = PorterStemmer()
for words in tokenizedText:
s_list = []
print("\n3Words: ", words)
for word in words:
s_list.append(word_stemmer.stem(word))
print("After stemming: ", s_list)
# Sentiment Analysis
for sentence in sentences:
s = SentimentIntensityAnalyzer()
vs = s.polarity_scores(sentence)
print(sentence, str(vs))
[nltk_data] Downloading package stopwords to [nltk_data] C:\Users\omara\AppData\Roaming\nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package punkt to [nltk_data] C:\Users\omara\AppData\Roaming\nltk_data... [nltk_data] Package punkt is already up-to-date! [nltk_data] Downloading package vader_lexicon to [nltk_data] C:\Users\omara\AppData\Roaming\nltk_data... [nltk_data] Package vader_lexicon is already up-to-date! [nltk_data] Downloading package wordnet to [nltk_data] C:\Users\omara\AppData\Roaming\nltk_data... [nltk_data] Package wordnet is already up-to-date! [nltk_data] Downloading package omw-1.4 to [nltk_data] C:\Users\omara\AppData\Roaming\nltk_data... [nltk_data] Package omw-1.4 is already up-to-date!
Original Sentence: a lot has happened to us all since 1987. thats the year the art of the deal
After removing punctuation: a lot has happened to us all since 1987 thats the year the art of the deal
Original Sentence: was published and became the bestselling business book of the decade,
After removing punctuation: was published and became the bestselling business book of the decade
Original Sentence: with over three million copies in print.
After removing punctuation: with over three million copies in print
Original Sentence: (business rule #1: if you do not tell people about your success, they
After removing punctuation: business rule 1 if you do not tell people about your success they
Original Sentence: probably wont know about it.)
After removing punctuation: probably wont know about it
Original Sentence: a few months ago, i picked up the art of the deal, skimmed a bit, and
After removing punctuation: a few months ago i picked up the art of the deal skimmed a bit and
Original Sentence: then read the first and last paragraphs. i realized that after seventeen years
After removing punctuation: then read the first and last paragraphs i realized that after seventeen years
Original Sentence: they still rang true. i could have written these words yesterday:
After removing punctuation: they still rang true i could have written these words yesterday
Original Sentence: first paragraph: i do not do it for the money. i have got enough, much more
After removing punctuation: first paragraph i do not do it for the money i have got enough much more
Original Sentence: than i will ever need. i do it to do it. deals are my art form. other people paint
After removing punctuation: than i will ever need i do it to do it deals are my art form other people paint
Original Sentence: beautifully on canvas or write wonderful poetry. i like making deals, preferably
After removing punctuation: beautifully on canvas or write wonderful poetry i like making deals preferably
Original Sentence: big deals. that is how i get my kicks.
After removing punctuation: big deals that is how i get my kicks
Original Sentence: last paragraph: do not get me wrong. i also plan to keep making deals, big
After removing punctuation: last paragraph do not get me wrong i also plan to keep making deals big
Original Sentence: deals, and right around the clock.
After removing punctuation: deals and right around the clock
Original Sentence: it is now 2004, i am still making deals around the clock, and i still dont
After removing punctuation: it is now 2004 i am still making deals around the clock and i still dont
Original Sentence: do it for the money.
After removing punctuation: do it for the money
Original Sentence: i do not think you should do it for the money, either. money is not an
After removing punctuation: i do not think you should do it for the money either money is not an
Original Sentence: end in itself, but it is sometimes the most effective way to help us realize
After removing punctuation: end in itself but it is sometimes the most effective way to help us realize
Original Sentence: our dreams. so if you have got big dreams and you’re looking for a way to
After removing punctuation: our dreams so if you have got big dreams and you’re looking for a way to
Original Sentence: make them happen, this book is for you.
After removing punctuation: make them happen this book is for you
['A', 'lot', 'has', 'happened', 'to', 'us', 'all', 'since', '1987', '.', 'Thats', 'the', 'year', 'The', 'Art', 'of', 'the', 'Deal']
['was', 'published', 'and', 'became', 'the', 'bestselling', 'business', 'book', 'of', 'the', 'decade', ',']
['with', 'over', 'three', 'million', 'copies', 'in', 'print', '.']
['(', 'Business', 'Rule', '#', '1', ':', 'If', 'you', 'do', 'not', 'tell', 'people', 'about', 'your', 'success', ',', 'they']
['probably', 'wont', 'know', 'about', 'it', '.', ')']
['A', 'few', 'months', 'ago', ',', 'I', 'picked', 'up', 'The', 'Art', 'of', 'the', 'Deal', ',', 'skimmed', 'a', 'bit', ',', 'and']
['then', 'read', 'the', 'first', 'and', 'last', 'paragraphs', '.', 'I', 'realized', 'that', 'after', 'seventeen', 'years']
['they', 'still', 'rang', 'true', '.', 'I', 'could', 'have', 'written', 'these', 'words', 'yesterday', ':']
['First', 'paragraph', ':', 'I', 'do', 'not', 'do', 'it', 'for', 'the', 'money', '.', 'I', 'have', 'got', 'enough', ',', 'much', 'more']
['than', 'I', 'will', 'ever', 'need', '.', 'I', 'do', 'it', 'to', 'do', 'it', '.', 'Deals', 'are', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
['beautifully', 'on', 'canvas', 'or', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deals', ',', 'preferably']
['big', 'deals', '.', 'That', 'is', 'how', 'I', 'get', 'my', 'kicks', '.']
['Last', 'paragraph', ':', 'Do', 'not', 'get', 'me', 'wrong', '.', 'I', 'also', 'plan', 'to', 'keep', 'making', 'deals', ',', 'big']
['deals', ',', 'and', 'right', 'around', 'the', 'clock', '.']
['It', 'is', 'now', '2004', ',', 'I', 'am', 'still', 'making', 'deals', 'around', 'the', 'clock', ',', 'and', 'I', 'still', 'dont']
['do', 'it', 'for', 'the', 'money', '.']
['I', 'do', 'not', 'think', 'you', 'should', 'do', 'it', 'for', 'the', 'money', ',', 'either', '.', 'Money', 'is', 'not', 'an']
['end', 'in', 'itself', ',', 'but', 'it', 'is', 'sometimes', 'the', 'most', 'effective', 'way', 'to', 'help', 'us', 'realize']
['our', 'dreams', '.', 'So', 'if', 'you', 'have', 'got', 'big', 'dreams', 'and', 'you’re', 'looking', 'for', 'a', 'way', 'to']
['make', 'them', 'happen', ',', 'this', 'book', 'is', 'for', 'you', '.']
Sentence: ['A', 'lot', 'has', 'happened', 'to', 'us', 'all', 'since', '1987', '.', 'Thats', 'the', 'year', 'The', 'Art', 'of', 'the', 'Deal']
After removing stop words: ['A', 'lot', 'happened', 'us', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art', 'the', 'Deal']
Sentence: ['was', 'published', 'and', 'became', 'the', 'bestselling', 'business', 'book', 'of', 'the', 'decade', ',']
After removing stop words: ['published', 'became', 'bestselling', 'business', 'book', 'the', 'decade', ',']
Sentence: ['with', 'over', 'three', 'million', 'copies', 'in', 'print', '.']
After removing stop words: ['over', 'three', 'million', 'copies', 'print', '.']
Sentence: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'you', 'do', 'not', 'tell', 'people', 'about', 'your', 'success', ',', 'they']
After removing stop words: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your', 'success', ',']
Sentence: ['probably', 'wont', 'know', 'about', 'it', '.', ')']
After removing stop words: ['probably', 'wont', 'know', 'it', '.', ')']
Sentence: ['A', 'few', 'months', 'ago', ',', 'I', 'picked', 'up', 'The', 'Art', 'of', 'the', 'Deal', ',', 'skimmed', 'a', 'bit', ',', 'and']
After removing stop words: ['A', 'months', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed', 'bit', ',']
Sentence: ['then', 'read', 'the', 'first', 'and', 'last', 'paragraphs', '.', 'I', 'realized', 'that', 'after', 'seventeen', 'years']
After removing stop words: ['read', 'first', 'last', 'paragraphs', '.', 'I', 'realized', 'after', 'seventeen', 'years']
Sentence: ['they', 'still', 'rang', 'true', '.', 'I', 'could', 'have', 'written', 'these', 'words', 'yesterday', ':']
After removing stop words: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'words', 'yesterday', ':']
Sentence: ['First', 'paragraph', ':', 'I', 'do', 'not', 'do', 'it', 'for', 'the', 'money', '.', 'I', 'have', 'got', 'enough', ',', 'much', 'more']
After removing stop words: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough', ',', 'much']
Sentence: ['than', 'I', 'will', 'ever', 'need', '.', 'I', 'do', 'it', 'to', 'do', 'it', '.', 'Deals', 'are', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
After removing stop words: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
Sentence: ['beautifully', 'on', 'canvas', 'or', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deals', ',', 'preferably']
After removing stop words: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deals', ',', 'preferably']
Sentence: ['big', 'deals', '.', 'That', 'is', 'how', 'I', 'get', 'my', 'kicks', '.']
After removing stop words: ['big', 'deals', '.', 'That', 'how', 'I', 'get', 'kicks', '.']
Sentence: ['Last', 'paragraph', ':', 'Do', 'not', 'get', 'me', 'wrong', '.', 'I', 'also', 'plan', 'to', 'keep', 'making', 'deals', ',', 'big']
After removing stop words: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deals', ',', 'big']
Sentence: ['deals', ',', 'and', 'right', 'around', 'the', 'clock', '.']
After removing stop words: ['deals', ',', 'right', 'around', 'clock', '.']
Sentence: ['It', 'is', 'now', '2004', ',', 'I', 'am', 'still', 'making', 'deals', 'around', 'the', 'clock', ',', 'and', 'I', 'still', 'dont']
After removing stop words: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deals', 'around', 'clock', ',', 'I', 'still', 'dont']
Sentence: ['do', 'it', 'for', 'the', 'money', '.']
After removing stop words: ['it', 'the', 'money', '.']
Sentence: ['I', 'do', 'not', 'think', 'you', 'should', 'do', 'it', 'for', 'the', 'money', ',', 'either', '.', 'Money', 'is', 'not', 'an']
After removing stop words: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'Money', 'not']
Sentence: ['end', 'in', 'itself', ',', 'but', 'it', 'is', 'sometimes', 'the', 'most', 'effective', 'way', 'to', 'help', 'us', 'realize']
After removing stop words: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help', 'us', 'realize']
Sentence: ['our', 'dreams', '.', 'So', 'if', 'you', 'have', 'got', 'big', 'dreams', 'and', 'you’re', 'looking', 'for', 'a', 'way', 'to']
After removing stop words: ['dreams', '.', 'So', 'you', 'got', 'big', 'dreams', 'you’re', 'looking', 'a', 'way']
Sentence: ['make', 'them', 'happen', ',', 'this', 'book', 'is', 'for', 'you', '.']
After removing stop words: ['make', 'happen', ',', 'book', 'for', '.']
Words: ['A', 'lot', 'happened', 'us', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art', 'the', 'Deal']
After Lemmatization: ['A']
After Lemmatization: ['A', 'lot']
After Lemmatization: ['A', 'lot', 'happened']
After Lemmatization: ['A', 'lot', 'happened', 'u']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats', 'year']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats', 'year', 'The']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art', 'the']
After Lemmatization: ['A', 'lot', 'happened', 'u', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art', 'the', 'Deal']
Words: ['published', 'became', 'bestselling', 'business', 'book', 'the', 'decade', ',']
After Lemmatization: ['published']
After Lemmatization: ['published', 'became']
After Lemmatization: ['published', 'became', 'bestselling']
After Lemmatization: ['published', 'became', 'bestselling', 'business']
After Lemmatization: ['published', 'became', 'bestselling', 'business', 'book']
After Lemmatization: ['published', 'became', 'bestselling', 'business', 'book', 'the']
After Lemmatization: ['published', 'became', 'bestselling', 'business', 'book', 'the', 'decade']
After Lemmatization: ['published', 'became', 'bestselling', 'business', 'book', 'the', 'decade', ',']
Words: ['over', 'three', 'million', 'copies', 'print', '.']
After Lemmatization: ['over']
After Lemmatization: ['over', 'three']
After Lemmatization: ['over', 'three', 'million']
After Lemmatization: ['over', 'three', 'million', 'copy']
After Lemmatization: ['over', 'three', 'million', 'copy', 'print']
After Lemmatization: ['over', 'three', 'million', 'copy', 'print', '.']
Words: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your', 'success', ',']
After Lemmatization: ['(']
After Lemmatization: ['(', 'Business']
After Lemmatization: ['(', 'Business', 'Rule']
After Lemmatization: ['(', 'Business', 'Rule', '#']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your', 'success']
After Lemmatization: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your', 'success', ',']
Words: ['probably', 'wont', 'know', 'it', '.', ')']
After Lemmatization: ['probably']
After Lemmatization: ['probably', 'wont']
After Lemmatization: ['probably', 'wont', 'know']
After Lemmatization: ['probably', 'wont', 'know', 'it']
After Lemmatization: ['probably', 'wont', 'know', 'it', '.']
After Lemmatization: ['probably', 'wont', 'know', 'it', '.', ')']
Words: ['A', 'months', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed', 'bit', ',']
After Lemmatization: ['A']
After Lemmatization: ['A', 'month']
After Lemmatization: ['A', 'month', 'ago']
After Lemmatization: ['A', 'month', 'ago', ',']
After Lemmatization: ['A', 'month', 'ago', ',', 'I']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed', 'bit']
After Lemmatization: ['A', 'month', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed', 'bit', ',']
Words: ['read', 'first', 'last', 'paragraphs', '.', 'I', 'realized', 'after', 'seventeen', 'years']
After Lemmatization: ['read']
After Lemmatization: ['read', 'first']
After Lemmatization: ['read', 'first', 'last']
After Lemmatization: ['read', 'first', 'last', 'paragraph']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.', 'I']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.', 'I', 'realized']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.', 'I', 'realized', 'after']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.', 'I', 'realized', 'after', 'seventeen']
After Lemmatization: ['read', 'first', 'last', 'paragraph', '.', 'I', 'realized', 'after', 'seventeen', 'year']
Words: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'words', 'yesterday', ':']
After Lemmatization: ['still']
After Lemmatization: ['still', 'rang']
After Lemmatization: ['still', 'rang', 'true']
After Lemmatization: ['still', 'rang', 'true', '.']
After Lemmatization: ['still', 'rang', 'true', '.', 'I']
After Lemmatization: ['still', 'rang', 'true', '.', 'I', 'could']
After Lemmatization: ['still', 'rang', 'true', '.', 'I', 'could', 'written']
After Lemmatization: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'word']
After Lemmatization: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'word', 'yesterday']
After Lemmatization: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'word', 'yesterday', ':']
Words: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough', ',', 'much']
After Lemmatization: ['First']
After Lemmatization: ['First', 'paragraph']
After Lemmatization: ['First', 'paragraph', ':']
After Lemmatization: ['First', 'paragraph', ':', 'I']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough', ',']
After Lemmatization: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough', ',', 'much']
Words: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
After Lemmatization: ['I']
After Lemmatization: ['I', 'ever']
After Lemmatization: ['I', 'ever', 'need']
After Lemmatization: ['I', 'ever', 'need', '.']
After Lemmatization: ['I', 'ever', 'need', '.', 'I']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other', 'people']
After Lemmatization: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
Words: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deals', ',', 'preferably']
After Lemmatization: ['beautifully']
After Lemmatization: ['beautifully', 'canvas']
After Lemmatization: ['beautifully', 'canvas', 'write']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deal']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deal', ',']
After Lemmatization: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deal', ',', 'preferably']
Words: ['big', 'deals', '.', 'That', 'how', 'I', 'get', 'kicks', '.']
After Lemmatization: ['big']
After Lemmatization: ['big', 'deal']
After Lemmatization: ['big', 'deal', '.']
After Lemmatization: ['big', 'deal', '.', 'That']
After Lemmatization: ['big', 'deal', '.', 'That', 'how']
After Lemmatization: ['big', 'deal', '.', 'That', 'how', 'I']
After Lemmatization: ['big', 'deal', '.', 'That', 'how', 'I', 'get']
After Lemmatization: ['big', 'deal', '.', 'That', 'how', 'I', 'get', 'kick']
After Lemmatization: ['big', 'deal', '.', 'That', 'how', 'I', 'get', 'kick', '.']
Words: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deals', ',', 'big']
After Lemmatization: ['Last']
After Lemmatization: ['Last', 'paragraph']
After Lemmatization: ['Last', 'paragraph', ':']
After Lemmatization: ['Last', 'paragraph', ':', 'Do']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deal']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deal', ',']
After Lemmatization: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deal', ',', 'big']
Words: ['deals', ',', 'right', 'around', 'clock', '.']
After Lemmatization: ['deal']
After Lemmatization: ['deal', ',']
After Lemmatization: ['deal', ',', 'right']
After Lemmatization: ['deal', ',', 'right', 'around']
After Lemmatization: ['deal', ',', 'right', 'around', 'clock']
After Lemmatization: ['deal', ',', 'right', 'around', 'clock', '.']
Words: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deals', 'around', 'clock', ',', 'I', 'still', 'dont']
After Lemmatization: ['It']
After Lemmatization: ['It', 'now']
After Lemmatization: ['It', 'now', '2004']
After Lemmatization: ['It', 'now', '2004', ',']
After Lemmatization: ['It', 'now', '2004', ',', 'I']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around', 'clock']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around', 'clock', ',']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around', 'clock', ',', 'I']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around', 'clock', ',', 'I', 'still']
After Lemmatization: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deal', 'around', 'clock', ',', 'I', 'still', 'dont']
Words: ['it', 'the', 'money', '.']
After Lemmatization: ['it']
After Lemmatization: ['it', 'the']
After Lemmatization: ['it', 'the', 'money']
After Lemmatization: ['it', 'the', 'money', '.']
Words: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'Money', 'not']
After Lemmatization: ['I']
After Lemmatization: ['I', 'not']
After Lemmatization: ['I', 'not', 'think']
After Lemmatization: ['I', 'not', 'think', 'should']
After Lemmatization: ['I', 'not', 'think', 'should', 'it']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'Money']
After Lemmatization: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'Money', 'not']
Words: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help', 'us', 'realize']
After Lemmatization: ['end']
After Lemmatization: ['end', 'itself']
After Lemmatization: ['end', 'itself', ',']
After Lemmatization: ['end', 'itself', ',', 'it']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help', 'u']
After Lemmatization: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help', 'u', 'realize']
Words: ['dreams', '.', 'So', 'you', 'got', 'big', 'dreams', 'you’re', 'looking', 'a', 'way']
After Lemmatization: ['dream']
After Lemmatization: ['dream', '.']
After Lemmatization: ['dream', '.', 'So']
After Lemmatization: ['dream', '.', 'So', 'you']
After Lemmatization: ['dream', '.', 'So', 'you', 'got']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big', 'dream']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big', 'dream', 'you’re']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big', 'dream', 'you’re', 'looking']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big', 'dream', 'you’re', 'looking', 'a']
After Lemmatization: ['dream', '.', 'So', 'you', 'got', 'big', 'dream', 'you’re', 'looking', 'a', 'way']
Words: ['make', 'happen', ',', 'book', 'for', '.']
After Lemmatization: ['make']
After Lemmatization: ['make', 'happen']
After Lemmatization: ['make', 'happen', ',']
After Lemmatization: ['make', 'happen', ',', 'book']
After Lemmatization: ['make', 'happen', ',', 'book', 'for']
After Lemmatization: ['make', 'happen', ',', 'book', 'for', '.']
3Words: ['A', 'lot', 'happened', 'us', 'since', '1987', '.', 'Thats', 'year', 'The', 'Art', 'the', 'Deal']
After stemming: ['a']
After stemming: ['a', 'lot']
After stemming: ['a', 'lot', 'happen']
After stemming: ['a', 'lot', 'happen', 'us']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that', 'year']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that', 'year', 'the']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that', 'year', 'the', 'art']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that', 'year', 'the', 'art', 'the']
After stemming: ['a', 'lot', 'happen', 'us', 'sinc', '1987', '.', 'that', 'year', 'the', 'art', 'the', 'deal']
3Words: ['published', 'became', 'bestselling', 'business', 'book', 'the', 'decade', ',']
After stemming: ['publish']
After stemming: ['publish', 'becam']
After stemming: ['publish', 'becam', 'bestsel']
After stemming: ['publish', 'becam', 'bestsel', 'busi']
After stemming: ['publish', 'becam', 'bestsel', 'busi', 'book']
After stemming: ['publish', 'becam', 'bestsel', 'busi', 'book', 'the']
After stemming: ['publish', 'becam', 'bestsel', 'busi', 'book', 'the', 'decad']
After stemming: ['publish', 'becam', 'bestsel', 'busi', 'book', 'the', 'decad', ',']
3Words: ['over', 'three', 'million', 'copies', 'print', '.']
After stemming: ['over']
After stemming: ['over', 'three']
After stemming: ['over', 'three', 'million']
After stemming: ['over', 'three', 'million', 'copi']
After stemming: ['over', 'three', 'million', 'copi', 'print']
After stemming: ['over', 'three', 'million', 'copi', 'print', '.']
3Words: ['(', 'Business', 'Rule', '#', '1', ':', 'If', 'do', 'tell', 'people', 'your', 'success', ',']
After stemming: ['(']
After stemming: ['(', 'busi']
After stemming: ['(', 'busi', 'rule']
After stemming: ['(', 'busi', 'rule', '#']
After stemming: ['(', 'busi', 'rule', '#', '1']
After stemming: ['(', 'busi', 'rule', '#', '1', ':']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do', 'tell']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do', 'tell', 'peopl']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do', 'tell', 'peopl', 'your']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do', 'tell', 'peopl', 'your', 'success']
After stemming: ['(', 'busi', 'rule', '#', '1', ':', 'if', 'do', 'tell', 'peopl', 'your', 'success', ',']
3Words: ['probably', 'wont', 'know', 'it', '.', ')']
After stemming: ['probabl']
After stemming: ['probabl', 'wont']
After stemming: ['probabl', 'wont', 'know']
After stemming: ['probabl', 'wont', 'know', 'it']
After stemming: ['probabl', 'wont', 'know', 'it', '.']
After stemming: ['probabl', 'wont', 'know', 'it', '.', ')']
3Words: ['A', 'months', 'ago', ',', 'I', 'picked', 'The', 'Art', 'the', 'Deal', ',', 'skimmed', 'bit', ',']
After stemming: ['a']
After stemming: ['a', 'month']
After stemming: ['a', 'month', 'ago']
After stemming: ['a', 'month', 'ago', ',']
After stemming: ['a', 'month', 'ago', ',', 'i']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the', 'deal']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the', 'deal', ',']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the', 'deal', ',', 'skim']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the', 'deal', ',', 'skim', 'bit']
After stemming: ['a', 'month', 'ago', ',', 'i', 'pick', 'the', 'art', 'the', 'deal', ',', 'skim', 'bit', ',']
3Words: ['read', 'first', 'last', 'paragraphs', '.', 'I', 'realized', 'after', 'seventeen', 'years']
After stemming: ['read']
After stemming: ['read', 'first']
After stemming: ['read', 'first', 'last']
After stemming: ['read', 'first', 'last', 'paragraph']
After stemming: ['read', 'first', 'last', 'paragraph', '.']
After stemming: ['read', 'first', 'last', 'paragraph', '.', 'i']
After stemming: ['read', 'first', 'last', 'paragraph', '.', 'i', 'realiz']
After stemming: ['read', 'first', 'last', 'paragraph', '.', 'i', 'realiz', 'after']
After stemming: ['read', 'first', 'last', 'paragraph', '.', 'i', 'realiz', 'after', 'seventeen']
After stemming: ['read', 'first', 'last', 'paragraph', '.', 'i', 'realiz', 'after', 'seventeen', 'year']
3Words: ['still', 'rang', 'true', '.', 'I', 'could', 'written', 'words', 'yesterday', ':']
After stemming: ['still']
After stemming: ['still', 'rang']
After stemming: ['still', 'rang', 'true']
After stemming: ['still', 'rang', 'true', '.']
After stemming: ['still', 'rang', 'true', '.', 'i']
After stemming: ['still', 'rang', 'true', '.', 'i', 'could']
After stemming: ['still', 'rang', 'true', '.', 'i', 'could', 'written']
After stemming: ['still', 'rang', 'true', '.', 'i', 'could', 'written', 'word']
After stemming: ['still', 'rang', 'true', '.', 'i', 'could', 'written', 'word', 'yesterday']
After stemming: ['still', 'rang', 'true', '.', 'i', 'could', 'written', 'word', 'yesterday', ':']
3Words: ['First', 'paragraph', ':', 'I', 'not', 'it', 'the', 'money', '.', 'I', 'got', 'enough', ',', 'much']
After stemming: ['first']
After stemming: ['first', 'paragraph']
After stemming: ['first', 'paragraph', ':']
After stemming: ['first', 'paragraph', ':', 'i']
After stemming: ['first', 'paragraph', ':', 'i', 'not']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.', 'i']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.', 'i', 'got']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.', 'i', 'got', 'enough']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.', 'i', 'got', 'enough', ',']
After stemming: ['first', 'paragraph', ':', 'i', 'not', 'it', 'the', 'money', '.', 'i', 'got', 'enough', ',', 'much']
3Words: ['I', 'ever', 'need', '.', 'I', 'do', 'it', '.', 'Deals', 'my', 'art', 'form', '.', 'Other', 'people', 'paint']
After stemming: ['i']
After stemming: ['i', 'ever']
After stemming: ['i', 'ever', 'need']
After stemming: ['i', 'ever', 'need', '.']
After stemming: ['i', 'ever', 'need', '.', 'i']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art', 'form']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art', 'form', '.']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art', 'form', '.', 'other']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art', 'form', '.', 'other', 'peopl']
After stemming: ['i', 'ever', 'need', '.', 'i', 'do', 'it', '.', 'deal', 'my', 'art', 'form', '.', 'other', 'peopl', 'paint']
3Words: ['beautifully', 'canvas', 'write', 'wonderful', 'poetry', '.', 'I', 'like', 'making', 'deals', ',', 'preferably']
After stemming: ['beauti']
After stemming: ['beauti', 'canva']
After stemming: ['beauti', 'canva', 'write']
After stemming: ['beauti', 'canva', 'write', 'wonder']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i', 'like']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i', 'like', 'make']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i', 'like', 'make', 'deal']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i', 'like', 'make', 'deal', ',']
After stemming: ['beauti', 'canva', 'write', 'wonder', 'poetri', '.', 'i', 'like', 'make', 'deal', ',', 'prefer']
3Words: ['big', 'deals', '.', 'That', 'how', 'I', 'get', 'kicks', '.']
After stemming: ['big']
After stemming: ['big', 'deal']
After stemming: ['big', 'deal', '.']
After stemming: ['big', 'deal', '.', 'that']
After stemming: ['big', 'deal', '.', 'that', 'how']
After stemming: ['big', 'deal', '.', 'that', 'how', 'i']
After stemming: ['big', 'deal', '.', 'that', 'how', 'i', 'get']
After stemming: ['big', 'deal', '.', 'that', 'how', 'i', 'get', 'kick']
After stemming: ['big', 'deal', '.', 'that', 'how', 'i', 'get', 'kick', '.']
3Words: ['Last', 'paragraph', ':', 'Do', 'get', 'wrong', '.', 'I', 'also', 'plan', 'keep', 'making', 'deals', ',', 'big']
After stemming: ['last']
After stemming: ['last', 'paragraph']
After stemming: ['last', 'paragraph', ':']
After stemming: ['last', 'paragraph', ':', 'do']
After stemming: ['last', 'paragraph', ':', 'do', 'get']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan', 'keep']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan', 'keep', 'make']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan', 'keep', 'make', 'deal']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan', 'keep', 'make', 'deal', ',']
After stemming: ['last', 'paragraph', ':', 'do', 'get', 'wrong', '.', 'i', 'also', 'plan', 'keep', 'make', 'deal', ',', 'big']
3Words: ['deals', ',', 'right', 'around', 'clock', '.']
After stemming: ['deal']
After stemming: ['deal', ',']
After stemming: ['deal', ',', 'right']
After stemming: ['deal', ',', 'right', 'around']
After stemming: ['deal', ',', 'right', 'around', 'clock']
After stemming: ['deal', ',', 'right', 'around', 'clock', '.']
3Words: ['It', 'now', '2004', ',', 'I', 'still', 'making', 'deals', 'around', 'clock', ',', 'I', 'still', 'dont']
After stemming: ['it']
After stemming: ['it', 'now']
After stemming: ['it', 'now', '2004']
After stemming: ['it', 'now', '2004', ',']
After stemming: ['it', 'now', '2004', ',', 'i']
After stemming: ['it', 'now', '2004', ',', 'i', 'still']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around', 'clock']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around', 'clock', ',']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around', 'clock', ',', 'i']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around', 'clock', ',', 'i', 'still']
After stemming: ['it', 'now', '2004', ',', 'i', 'still', 'make', 'deal', 'around', 'clock', ',', 'i', 'still', 'dont']
3Words: ['it', 'the', 'money', '.']
After stemming: ['it']
After stemming: ['it', 'the']
After stemming: ['it', 'the', 'money']
After stemming: ['it', 'the', 'money', '.']
3Words: ['I', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'Money', 'not']
After stemming: ['i']
After stemming: ['i', 'not']
After stemming: ['i', 'not', 'think']
After stemming: ['i', 'not', 'think', 'should']
After stemming: ['i', 'not', 'think', 'should', 'it']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money', ',']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'money']
After stemming: ['i', 'not', 'think', 'should', 'it', 'the', 'money', ',', 'either', '.', 'money', 'not']
3Words: ['end', 'itself', ',', 'it', 'sometimes', 'most', 'effective', 'way', 'help', 'us', 'realize']
After stemming: ['end']
After stemming: ['end', 'itself']
After stemming: ['end', 'itself', ',']
After stemming: ['end', 'itself', ',', 'it']
After stemming: ['end', 'itself', ',', 'it', 'sometim']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most', 'effect']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most', 'effect', 'way']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most', 'effect', 'way', 'help']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most', 'effect', 'way', 'help', 'us']
After stemming: ['end', 'itself', ',', 'it', 'sometim', 'most', 'effect', 'way', 'help', 'us', 'realiz']
3Words: ['dreams', '.', 'So', 'you', 'got', 'big', 'dreams', 'you’re', 'looking', 'a', 'way']
After stemming: ['dream']
After stemming: ['dream', '.']
After stemming: ['dream', '.', 'so']
After stemming: ['dream', '.', 'so', 'you']
After stemming: ['dream', '.', 'so', 'you', 'got']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big', 'dream']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big', 'dream', 'you’r']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big', 'dream', 'you’r', 'look']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big', 'dream', 'you’r', 'look', 'a']
After stemming: ['dream', '.', 'so', 'you', 'got', 'big', 'dream', 'you’r', 'look', 'a', 'way']
3Words: ['make', 'happen', ',', 'book', 'for', '.']
After stemming: ['make']
After stemming: ['make', 'happen']
After stemming: ['make', 'happen', ',']
After stemming: ['make', 'happen', ',', 'book']
After stemming: ['make', 'happen', ',', 'book', 'for']
After stemming: ['make', 'happen', ',', 'book', 'for', '.']
A lot has happened to us all since 1987. Thats the year The Art of the Deal
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
was published and became the bestselling business book of the decade,
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
with over three million copies in print.
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
(Business Rule #1: If you do not tell people about your success, they
{'neg': 0.0, 'neu': 0.764, 'pos': 0.236, 'compound': 0.5719}
probably wont know about it.)
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
A few months ago, I picked up The Art of the Deal, skimmed a bit, and
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
then read the first and last paragraphs. I realized that after seventeen years
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
they still rang true. I could have written these words yesterday:
{'neg': 0.0, 'neu': 0.763, 'pos': 0.237, 'compound': 0.4215}
First paragraph: I do not do it for the money. I have got enough, much more
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
than I will ever need. I do it to do it. Deals are my art form. Other people paint
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
beautifully on canvas or write wonderful poetry. I like making deals, preferably
{'neg': 0.0, 'neu': 0.447, 'pos': 0.553, 'compound': 0.872}
big deals. That is how I get my kicks.
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
Last paragraph: Do not get me wrong. I also plan to keep making deals, big
{'neg': 0.0, 'neu': 0.836, 'pos': 0.164, 'compound': 0.3724}
deals, and right around the clock.
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
It is now 2004, I am still making deals around the clock, and I still dont
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
do it for the money.
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
I do not think you should do it for the money, either. Money is not an
{'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
end in itself, but it is sometimes the most effective way to help us realize
{'neg': 0.0, 'neu': 0.615, 'pos': 0.385, 'compound': 0.8458}
our dreams. So if you have got big dreams and you’re looking for a way to
{'neg': 0.0, 'neu': 0.707, 'pos': 0.293, 'compound': 0.6597}
make them happen, this book is for you. {'neg': 0.0, 'neu': 1.0, 'pos': 0.0, 'compound': 0.0}
"""Hosni **part**"""
# Commented out IPython magic to ensure Python compatibility.
# %matplotlib inline
sns.set(color_codes=True )
air = pd.read_csv ('employee_attrition_test2.csv')
air.hist(figsize=(7,7))
sns.pairplot(air)
air=air.dropna()
#predict 1
df.corr()
x = df[['JobLevel']]
y = df['MonthlyIncome']
model = LinearRegression()
clf = model.fit(x,y)
print( 'Co.fficitnt: ', clf.coef_)
predictions = model.predict(x)
for index in range(len(predictions)):
print('Actual: ', y[index], ' ','Prtdicttd : ', predictions[index])
Co.fficitnt: [3983.3271116] Actual: 4450 Prtdicttd : 6155.489758488607 Actual: 1555 Prtdicttd : 2172.162646886972 Actual: 9724 Prtdicttd : 10138.81687009024 Actual: 2579 Prtdicttd : 2172.162646886972 Actual: 8865 Prtdicttd : 10138.81687009024 Actual: 3294 Prtdicttd : 2172.162646886972 Actual: 10231 Prtdicttd : 10138.81687009024 Actual: 5933 Prtdicttd : 6155.489758488607 Actual: 2213 Prtdicttd : 2172.162646886972 Actual: 3375 Prtdicttd : 2172.162646886972 Actual: 4968 Prtdicttd : 2172.162646886972 Actual: 6294 Prtdicttd : 6155.489758488607 Actual: 2743 Prtdicttd : 2172.162646886972 Actual: 17007 Prtdicttd : 14122.143981691876 Actual: 3479 Prtdicttd : 2172.162646886972 Actual: 5070 Prtdicttd : 6155.489758488607 Actual: 9204 Prtdicttd : 6155.489758488607 Actual: 5605 Prtdicttd : 6155.489758488607 Actual: 6392 Prtdicttd : 6155.489758488607 Actual: 2318 Prtdicttd : 2172.162646886972 Actual: 4037 Prtdicttd : 6155.489758488607 Actual: 3420 Prtdicttd : 2172.162646886972 Actual: 5957 Prtdicttd : 6155.489758488607 Actual: 5294 Prtdicttd : 6155.489758488607 Actual: 4244 Prtdicttd : 6155.489758488607 Actual: 7491 Prtdicttd : 10138.81687009024 Actual: 6134 Prtdicttd : 6155.489758488607 Actual: 13757 Prtdicttd : 10138.81687009024 Actual: 8686 Prtdicttd : 6155.489758488607 Actual: 5473 Prtdicttd : 6155.489758488607 Actual: 4087 Prtdicttd : 6155.489758488607 Actual: 5249 Prtdicttd : 6155.489758488607 Actual: 9094 Prtdicttd : 10138.81687009024 Actual: 5324 Prtdicttd : 6155.489758488607 Actual: 6796 Prtdicttd : 6155.489758488607 Actual: 1859 Prtdicttd : 2172.162646886972 Actual: 17861 Prtdicttd : 14122.143981691876 Actual: 19537 Prtdicttd : 18105.471093293512 Actual: 6125 Prtdicttd : 6155.489758488607 Actual: 2974 Prtdicttd : 2172.162646886972 Actual: 4998 Prtdicttd : 6155.489758488607 Actual: 2741 Prtdicttd : 6155.489758488607 Actual: 5968 Prtdicttd : 6155.489758488607 Actual: 6142 Prtdicttd : 6155.489758488607 Actual: 5042 Prtdicttd : 6155.489758488607 Actual: 9756 Prtdicttd : 10138.81687009024 Actual: 1416 Prtdicttd : 2172.162646886972 Actual: 7446 Prtdicttd : 10138.81687009024 Actual: 17639 Prtdicttd : 14122.143981691876 Actual: 4777 Prtdicttd : 6155.489758488607 Actual: 6214 Prtdicttd : 6155.489758488607 Actual: 4284 Prtdicttd : 6155.489758488607 Actual: 16437 Prtdicttd : 14122.143981691876 Actual: 5507 Prtdicttd : 6155.489758488607 Actual: 18947 Prtdicttd : 18105.471093293512 Actual: 9602 Prtdicttd : 6155.489758488607 Actual: 6623 Prtdicttd : 6155.489758488607 Actual: 4724 Prtdicttd : 6155.489758488607 Actual: 6500 Prtdicttd : 6155.489758488607 Actual: 10252 Prtdicttd : 10138.81687009024 Actual: 11916 Prtdicttd : 10138.81687009024 Actual: 18606 Prtdicttd : 18105.471093293512 Actual: 17875 Prtdicttd : 14122.143981691876 Actual: 7336 Prtdicttd : 10138.81687009024 Actual: 7082 Prtdicttd : 10138.81687009024 Actual: 5175 Prtdicttd : 6155.489758488607 Actual: 4011 Prtdicttd : 6155.489758488607 Actual: 5993 Prtdicttd : 6155.489758488607 Actual: 1232 Prtdicttd : 2172.162646886972 Actual: 13341 Prtdicttd : 14122.143981691876 Actual: 2476 Prtdicttd : 2172.162646886972 Actual: 7143 Prtdicttd : 10138.81687009024 Actual: 4449 Prtdicttd : 6155.489758488607 Actual: 4591 Prtdicttd : 6155.489758488607 Actual: 9071 Prtdicttd : 10138.81687009024 Actual: 19045 Prtdicttd : 18105.471093293512 Actual: 2534 Prtdicttd : 2172.162646886972 Actual: 10999 Prtdicttd : 10138.81687009024 Actual: 8740 Prtdicttd : 10138.81687009024 Actual: 5258 Prtdicttd : 6155.489758488607 Actual: 4648 Prtdicttd : 6155.489758488607 Actual: 13664 Prtdicttd : 10138.81687009024 Actual: 19202 Prtdicttd : 18105.471093293512 Actual: 6932 Prtdicttd : 6155.489758488607 Actual: 9957 Prtdicttd : 6155.489758488607 Actual: 1702 Prtdicttd : 2172.162646886972 Actual: 3452 Prtdicttd : 2172.162646886972 Actual: 5473 Prtdicttd : 6155.489758488607 Actual: 9980 Prtdicttd : 10138.81687009024 Actual: 15379 Prtdicttd : 14122.143981691876 Actual: 3838 Prtdicttd : 2172.162646886972 Actual: 2066 Prtdicttd : 2172.162646886972 Actual: 8500 Prtdicttd : 10138.81687009024 Actual: 2838 Prtdicttd : 2172.162646886972 Actual: 12965 Prtdicttd : 14122.143981691876 Actual: 5980 Prtdicttd : 6155.489758488607 Actual: 2564 Prtdicttd : 2172.162646886972 Actual: 12169 Prtdicttd : 14122.143981691876 Actual: 4553 Prtdicttd : 6155.489758488607 Actual: 6929 Prtdicttd : 6155.489758488607 Actual: 3812 Prtdicttd : 2172.162646886972 Actual: 1514 Prtdicttd : 2172.162646886972 Actual: 10266 Prtdicttd : 10138.81687009024 Actual: 4508 Prtdicttd : 6155.489758488607 Actual: 5429 Prtdicttd : 6155.489758488607 Actual: 9824 Prtdicttd : 10138.81687009024 Actual: 2696 Prtdicttd : 2172.162646886972 Actual: 13973 Prtdicttd : 14122.143981691876 Actual: 7406 Prtdicttd : 10138.81687009024 Actual: 8726 Prtdicttd : 10138.81687009024 Actual: 13966 Prtdicttd : 14122.143981691876 Actual: 4869 Prtdicttd : 6155.489758488607 Actual: 2625 Prtdicttd : 2172.162646886972 Actual: 2956 Prtdicttd : 2172.162646886972 Actual: 10096 Prtdicttd : 10138.81687009024 Actual: 4257 Prtdicttd : 2172.162646886972 Actual: 3730 Prtdicttd : 2172.162646886972 Actual: 6120 Prtdicttd : 6155.489758488607 Actual: 2523 Prtdicttd : 2172.162646886972 Actual: 19627 Prtdicttd : 18105.471093293512 Actual: 2370 Prtdicttd : 2172.162646886972 Actual: 4855 Prtdicttd : 6155.489758488607 Actual: 5337 Prtdicttd : 6155.489758488607 Actual: 5154 Prtdicttd : 6155.489758488607 Actual: 2587 Prtdicttd : 2172.162646886972 Actual: 6877 Prtdicttd : 6155.489758488607 Actual: 3902 Prtdicttd : 6155.489758488607 Actual: 17046 Prtdicttd : 14122.143981691876 Actual: 5974 Prtdicttd : 6155.489758488607 Actual: 16823 Prtdicttd : 14122.143981691876 Actual: 3597 Prtdicttd : 2172.162646886972 Actual: 5055 Prtdicttd : 6155.489758488607 Actual: 2308 Prtdicttd : 2172.162646886972 Actual: 5484 Prtdicttd : 6155.489758488607 Actual: 9439 Prtdicttd : 10138.81687009024 Actual: 10447 Prtdicttd : 10138.81687009024 Actual: 3760 Prtdicttd : 2172.162646886972 Actual: 13402 Prtdicttd : 14122.143981691876 Actual: 19232 Prtdicttd : 18105.471093293512 Actual: 8376 Prtdicttd : 10138.81687009024 Actual: 7945 Prtdicttd : 10138.81687009024 Actual: 10496 Prtdicttd : 10138.81687009024 Actual: 8926 Prtdicttd : 6155.489758488607 Actual: 6513 Prtdicttd : 6155.489758488607 Actual: 7637 Prtdicttd : 10138.81687009024 Actual: 7988 Prtdicttd : 10138.81687009024 Actual: 5410 Prtdicttd : 6155.489758488607 Actual: 2290 Prtdicttd : 2172.162646886972 Actual: 2559 Prtdicttd : 2172.162646886972 Actual: 18430 Prtdicttd : 18105.471093293512 Actual: 6553 Prtdicttd : 6155.489758488607 Actual: 3708 Prtdicttd : 2172.162646886972 Actual: 4538 Prtdicttd : 6155.489758488607 Actual: 19189 Prtdicttd : 18105.471093293512 Actual: 14814 Prtdicttd : 14122.143981691876 Actual: 2496 Prtdicttd : 2172.162646886972 Actual: 3673 Prtdicttd : 2172.162646886972 Actual: 19566 Prtdicttd : 18105.471093293512 Actual: 10124 Prtdicttd : 10138.81687009024 Actual: 2351 Prtdicttd : 2172.162646886972 Actual: 7351 Prtdicttd : 10138.81687009024 Actual: 2564 Prtdicttd : 2172.162646886972 Actual: 6653 Prtdicttd : 6155.489758488607 Actual: 6377 Prtdicttd : 6155.489758488607 Actual: 6410 Prtdicttd : 6155.489758488607 Actual: 10466 Prtdicttd : 10138.81687009024 Actual: 2042 Prtdicttd : 6155.489758488607 Actual: 2886 Prtdicttd : 2172.162646886972 Actual: 13603 Prtdicttd : 10138.81687009024 Actual: 5765 Prtdicttd : 6155.489758488607 Actual: 5321 Prtdicttd : 6155.489758488607 Actual: 2235 Prtdicttd : 2172.162646886972 Actual: 4779 Prtdicttd : 6155.489758488607 Actual: 3452 Prtdicttd : 2172.162646886972 Actual: 4233 Prtdicttd : 6155.489758488607 Actual: 18061 Prtdicttd : 18105.471093293512 Actual: 4272 Prtdicttd : 6155.489758488607 Actual: 6306 Prtdicttd : 6155.489758488607 Actual: 13726 Prtdicttd : 14122.143981691876 Actual: 2707 Prtdicttd : 2172.162646886972 Actual: 4490 Prtdicttd : 6155.489758488607 Actual: 19190 Prtdicttd : 18105.471093293512 Actual: 4440 Prtdicttd : 6155.489758488607 Actual: 2768 Prtdicttd : 2172.162646886972 Actual: 4876 Prtdicttd : 6155.489758488607 Actual: 5390 Prtdicttd : 6155.489758488607 Actual: 6782 Prtdicttd : 6155.489758488607 Actual: 19141 Prtdicttd : 18105.471093293512 Actual: 19068 Prtdicttd : 18105.471093293512 Actual: 5915 Prtdicttd : 6155.489758488607 Actual: 6516 Prtdicttd : 6155.489758488607 Actual: 5775 Prtdicttd : 6155.489758488607 Actual: 2201 Prtdicttd : 2172.162646886972 Actual: 2479 Prtdicttd : 2172.162646886972 Actual: 3617 Prtdicttd : 2172.162646886972 Actual: 17603 Prtdicttd : 14122.143981691876 Actual: 6334 Prtdicttd : 6155.489758488607 Actual: 3579 Prtdicttd : 2172.162646886972 Actual: 1274 Prtdicttd : 2172.162646886972 Actual: 7403 Prtdicttd : 10138.81687009024 Actual: 19517 Prtdicttd : 18105.471093293512 Actual: 8412 Prtdicttd : 10138.81687009024 Actual: 4978 Prtdicttd : 6155.489758488607 Actual: 19161 Prtdicttd : 18105.471093293512 Actual: 4876 Prtdicttd : 2172.162646886972 Actual: 6074 Prtdicttd : 6155.489758488607 Actual: 7140 Prtdicttd : 10138.81687009024 Actual: 3423 Prtdicttd : 2172.162646886972 Actual: 4765 Prtdicttd : 6155.489758488607 Actual: 6472 Prtdicttd : 6155.489758488607 Actual: 9241 Prtdicttd : 10138.81687009024 Actual: 4258 Prtdicttd : 2172.162646886972 Actual: 4736 Prtdicttd : 6155.489758488607 Actual: 2367 Prtdicttd : 2172.162646886972 Actual: 9715 Prtdicttd : 6155.489758488607 Actual: 13964 Prtdicttd : 14122.143981691876 Actual: 2332 Prtdicttd : 2172.162646886972 Actual: 4306 Prtdicttd : 6155.489758488607 Actual: 6274 Prtdicttd : 6155.489758488607 Actual: 5121 Prtdicttd : 6155.489758488607 Actual: 16880 Prtdicttd : 14122.143981691876 Actual: 4680 Prtdicttd : 2172.162646886972 Actual: 4537 Prtdicttd : 6155.489758488607 Actual: 2296 Prtdicttd : 2172.162646886972 Actual: 6931 Prtdicttd : 6155.489758488607 Actual: 5295 Prtdicttd : 6155.489758488607 Actual: 4197 Prtdicttd : 6155.489758488607 Actual: 3886 Prtdicttd : 6155.489758488607 Actual: 6687 Prtdicttd : 6155.489758488607 Actual: 2177 Prtdicttd : 2172.162646886972 Actual: 2322 Prtdicttd : 2172.162646886972 Actual: 6644 Prtdicttd : 6155.489758488607 Actual: 6201 Prtdicttd : 6155.489758488607 Actual: 4850 Prtdicttd : 6155.489758488607 Actual: 4401 Prtdicttd : 2172.162646886972 Actual: 6077 Prtdicttd : 6155.489758488607 Actual: 13194 Prtdicttd : 14122.143981691876 Actual: 2622 Prtdicttd : 2172.162646886972 Actual: 2774 Prtdicttd : 2172.162646886972 Actual: 2791 Prtdicttd : 2172.162646886972 Actual: 5006 Prtdicttd : 6155.489758488607 Actual: 19328 Prtdicttd : 18105.471093293512 Actual: 16291 Prtdicttd : 14122.143981691876 Actual: 7094 Prtdicttd : 10138.81687009024 Actual: 4285 Prtdicttd : 6155.489758488607 Actual: 6465 Prtdicttd : 6155.489758488607 Actual: 4960 Prtdicttd : 6155.489758488607 Actual: 10400 Prtdicttd : 10138.81687009024 Actual: 5033 Prtdicttd : 6155.489758488607 Actual: 11244 Prtdicttd : 10138.81687009024 Actual: 3294 Prtdicttd : 2172.162646886972 Actual: 2818 Prtdicttd : 2172.162646886972 Actual: 9547 Prtdicttd : 6155.489758488607 Actual: 6893 Prtdicttd : 6155.489758488607 Actual: 3629 Prtdicttd : 2172.162646886972 Actual: 5329 Prtdicttd : 6155.489758488607 Actual: 4319 Prtdicttd : 6155.489758488607 Actual: 2700 Prtdicttd : 2172.162646886972 Actual: 4617 Prtdicttd : 6155.489758488607 Actual: 3722 Prtdicttd : 2172.162646886972 Actual: 6439 Prtdicttd : 6155.489758488607 Actual: 2655 Prtdicttd : 2172.162646886972 Actual: 5343 Prtdicttd : 6155.489758488607 Actual: 2187 Prtdicttd : 2172.162646886972 Actual: 2288 Prtdicttd : 2172.162646886972 Actual: 10748 Prtdicttd : 10138.81687009024 Actual: 4260 Prtdicttd : 6155.489758488607 Actual: 3622 Prtdicttd : 2172.162646886972 Actual: 12936 Prtdicttd : 14122.143981691876 Actual: 6032 Prtdicttd : 6155.489758488607 Actual: 2783 Prtdicttd : 2172.162646886972 Actual: 6397 Prtdicttd : 6155.489758488607 Actual: 3936 Prtdicttd : 2172.162646886972 Actual: 3319 Prtdicttd : 6155.489758488607 Actual: 5467 Prtdicttd : 6155.489758488607 Actual: 2062 Prtdicttd : 2172.162646886972 Actual: 6815 Prtdicttd : 6155.489758488607 Actual: 4105 Prtdicttd : 6155.489758488607 Actual: 5396 Prtdicttd : 6155.489758488607 Actual: 11245 Prtdicttd : 14122.143981691876 Actual: 6578 Prtdicttd : 6155.489758488607 Actual: 2716 Prtdicttd : 2172.162646886972 Actual: 6804 Prtdicttd : 6155.489758488607 Actual: 2871 Prtdicttd : 2172.162646886972 Actual: 7879 Prtdicttd : 10138.81687009024 Actual: 2073 Prtdicttd : 2172.162646886972 Actual: 4523 Prtdicttd : 6155.489758488607 Actual: 5582 Prtdicttd : 6155.489758488607 Actual: 2741 Prtdicttd : 2172.162646886972 Actual: 2585 Prtdicttd : 2172.162646886972 Actual: 2543 Prtdicttd : 2172.162646886972 Actual: 3161 Prtdicttd : 2172.162646886972 Actual: 6323 Prtdicttd : 6155.489758488607 Actual: 2897 Prtdicttd : 6155.489758488607 Actual: 10312 Prtdicttd : 10138.81687009024 Actual: 2275 Prtdicttd : 2172.162646886972 Actual: 7625 Prtdicttd : 6155.489758488607 Actual: 7756 Prtdicttd : 10138.81687009024 Actual: 3058 Prtdicttd : 2172.162646886972 Actual: 2439 Prtdicttd : 2172.162646886972 Actual: 6474 Prtdicttd : 6155.489758488607 Actual: 5869 Prtdicttd : 6155.489758488607 Actual: 4663 Prtdicttd : 6155.489758488607 Actual: 4200 Prtdicttd : 2172.162646886972 Actual: 2141 Prtdicttd : 2172.162646886972 Actual: 9852 Prtdicttd : 10138.81687009024 Actual: 6799 Prtdicttd : 6155.489758488607 Actual: 5743 Prtdicttd : 6155.489758488607 Actual: 2380 Prtdicttd : 2172.162646886972 Actual: 6583 Prtdicttd : 6155.489758488607 Actual: 6261 Prtdicttd : 6155.489758488607 Actual: 4678 Prtdicttd : 2172.162646886972 Actual: 4127 Prtdicttd : 6155.489758488607 Actual: 17181 Prtdicttd : 14122.143981691876 Actual: 4554 Prtdicttd : 6155.489758488607 Actual: 3688 Prtdicttd : 2172.162646886972 Actual: 11691 Prtdicttd : 10138.81687009024 Actual: 9824 Prtdicttd : 6155.489758488607 Actual: 5485 Prtdicttd : 6155.489758488607 Actual: 10854 Prtdicttd : 10138.81687009024 Actual: 6567 Prtdicttd : 6155.489758488607 Actual: 4373 Prtdicttd : 6155.489758488607 Actual: 6349 Prtdicttd : 6155.489758488607 Actual: 5204 Prtdicttd : 6155.489758488607
#predict 2
a = df['Education'].values.reshape(324,1)
a.shape
x1 = df['Education']
y1 = df['DailyRate']
model = tree.DecisionTreeRegressor()
model.fit(a,y1)
predictions = model.predict(a)
print(model.feature_importances_)
for index in range(len(predictions)):
print('Actual: ', y1[index], ' ','Prtdicttd : ', predictions[index])
[1.] Actual: 1084.0 Prtdicttd : 816.3382352941177 Actual: 240.0 Prtdicttd : 729.2916666666666 Actual: 1339.0 Prtdicttd : 747.8759124087592 Actual: 204.0 Prtdicttd : 747.8759124087592 Actual: 1052.0 Prtdicttd : 747.8759124087592 Actual: 1454.0 Prtdicttd : 830.6279069767442 Actual: 531.0 Prtdicttd : 830.6279069767442 Actual: 625.0 Prtdicttd : 747.8759124087592 Actual: 1171.0 Prtdicttd : 830.6279069767442 Actual: 581.0 Prtdicttd : 816.3382352941177 Actual: 1312.0 Prtdicttd : 830.6279069767442 Actual: 461.0 Prtdicttd : 747.8759124087592 Actual: 885.0 Prtdicttd : 830.6279069767442 Actual: 829.0 Prtdicttd : 747.8759124087592 Actual: 307.0 Prtdicttd : 816.3382352941177 Actual: 983.0 Prtdicttd : 816.3382352941177 Actual: 601.0 Prtdicttd : 951.5555555555555 Actual: 322.0 Prtdicttd : 816.3382352941177 Actual: 1242.0 Prtdicttd : 830.6279069767442 Actual: 618.0 Prtdicttd : 747.8759124087592 Actual: 586.0 Prtdicttd : 747.8759124087592 Actual: 1467.0 Prtdicttd : 747.8759124087592 Actual: 470.0 Prtdicttd : 830.6279069767442 Actual: 305.0 Prtdicttd : 747.8759124087592 Actual: 791.0 Prtdicttd : 816.3382352941177 Actual: 799.0 Prtdicttd : 747.8759124087592 Actual: 1456.0 Prtdicttd : 951.5555555555555 Actual: 218.0 Prtdicttd : 729.2916666666666 Actual: 702.0 Prtdicttd : 830.6279069767442 Actual: 1342.0 Prtdicttd : 816.3382352941177 Actual: 1200.0 Prtdicttd : 830.6279069767442 Actual: 1327.0 Prtdicttd : 816.3382352941177 Actual: 299.0 Prtdicttd : 830.6279069767442 Actual: 118.0 Prtdicttd : 747.8759124087592 Actual: 562.0 Prtdicttd : 816.3382352941177 Actual: 504.0 Prtdicttd : 747.8759124087592 Actual: 1009.0 Prtdicttd : 747.8759124087592 Actual: 684.0 Prtdicttd : 747.8759124087592 Actual: 507.0 Prtdicttd : 816.3382352941177 Actual: 1082.0 Prtdicttd : 830.6279069767442 Actual: 1316.0 Prtdicttd : 816.3382352941177 Actual: 905.0 Prtdicttd : 816.3382352941177 Actual: 1303.0 Prtdicttd : 816.3382352941177 Actual: 970.0 Prtdicttd : 816.3382352941177 Actual: 711.0 Prtdicttd : 747.8759124087592 Actual: 176.0 Prtdicttd : 747.8759124087592 Actual: 1334.0 Prtdicttd : 747.8759124087592 Actual: 1445.0 Prtdicttd : 951.5555555555555 Actual: 691.0 Prtdicttd : 747.8759124087592 Actual: 1141.0 Prtdicttd : 816.3382352941177 Actual: 1130.0 Prtdicttd : 830.6279069767442 Actual: 783.0 Prtdicttd : 830.6279069767442 Actual: 898.0 Prtdicttd : 816.3382352941177 Actual: 335.0 Prtdicttd : 816.3382352941177 Actual: 705.0 Prtdicttd : 830.6279069767442 Actual: 558.0 Prtdicttd : 747.8759124087592 Actual: 1329.0 Prtdicttd : 747.8759124087592 Actual: 426.0 Prtdicttd : 830.6279069767442 Actual: 1111.0 Prtdicttd : 816.3382352941177 Actual: 363.0 Prtdicttd : 747.8759124087592 Actual: 634.0 Prtdicttd : 830.6279069767442 Actual: 1223.0 Prtdicttd : 816.3382352941177 Actual: 605.0 Prtdicttd : 747.8759124087592 Actual: 408.0 Prtdicttd : 729.2916666666666 Actual: 1206.0 Prtdicttd : 816.3382352941177 Actual: 638.0 Prtdicttd : 816.3382352941177 Actual: 721.0 Prtdicttd : 816.3382352941177 Actual: 1115.0 Prtdicttd : 830.6279069767442 Actual: 391.0 Prtdicttd : 816.3382352941177 Actual: 119.0 Prtdicttd : 830.6279069767442 Actual: 202.0 Prtdicttd : 729.2916666666666 Actual: 1232.0 Prtdicttd : 830.6279069767442 Actual: 1063.0 Prtdicttd : 951.5555555555555 Actual: 571.0 Prtdicttd : 747.8759124087592 Actual: 1125.0 Prtdicttd : 747.8759124087592 Actual: 452.0 Prtdicttd : 747.8759124087592 Actual: 1291.0 Prtdicttd : 747.8759124087592 Actual: 1355.0 Prtdicttd : 830.6279069767442 Actual: 770.0 Prtdicttd : 830.6279069767442 Actual: 1144.0 Prtdicttd : 830.6279069767442 Actual: 1318.0 Prtdicttd : 830.6279069767442 Actual: 397.0 Prtdicttd : 830.6279069767442 Actual: 252.0 Prtdicttd : 747.8759124087592 Actual: 1188.0 Prtdicttd : 816.3382352941177 Actual: 1176.0 Prtdicttd : 747.8759124087592 Actual: 1490.0 Prtdicttd : 816.3382352941177 Actual: 1316.0 Prtdicttd : 747.8759124087592 Actual: 1225.0 Prtdicttd : 729.2916666666666 Actual: 1389.0 Prtdicttd : 830.6279069767442 Actual: 809.0 Prtdicttd : 747.8759124087592 Actual: 1099.0 Prtdicttd : 830.6279069767442 Actual: 1255.0 Prtdicttd : 816.3382352941177 Actual: 943.0 Prtdicttd : 747.8759124087592 Actual: 968.0 Prtdicttd : 816.3382352941177 Actual: 661.0 Prtdicttd : 830.6279069767442 Actual: 240.0 Prtdicttd : 830.6279069767442 Actual: 489.0 Prtdicttd : 816.3382352941177 Actual: 203.0 Prtdicttd : 747.8759124087592 Actual: 408.0 Prtdicttd : 830.6279069767442 Actual: 218.0 Prtdicttd : 747.8759124087592 Actual: 574.0 Prtdicttd : 729.2916666666666 Actual: 1431.0 Prtdicttd : 747.8759124087592 Actual: 1499.0 Prtdicttd : 747.8759124087592 Actual: 827.0 Prtdicttd : 830.6279069767442 Actual: 285.0 Prtdicttd : 747.8759124087592 Actual: 534.0 Prtdicttd : 747.8759124087592 Actual: 544.0 Prtdicttd : 729.2916666666666 Actual: 939.0 Prtdicttd : 747.8759124087592 Actual: 319.0 Prtdicttd : 747.8759124087592 Actual: 994.0 Prtdicttd : 747.8759124087592 Actual: 465.0 Prtdicttd : 729.2916666666666 Actual: 928.0 Prtdicttd : 830.6279069767442 Actual: 251.0 Prtdicttd : 816.3382352941177 Actual: 827.0 Prtdicttd : 729.2916666666666 Actual: 377.0 Prtdicttd : 747.8759124087592 Actual: 713.0 Prtdicttd : 747.8759124087592 Actual: 515.0 Prtdicttd : 747.8759124087592 Actual: 1498.0 Prtdicttd : 830.6279069767442 Actual: 594.0 Prtdicttd : 729.2916666666666 Actual: 430.0 Prtdicttd : 830.6279069767442 Actual: 1062.0 Prtdicttd : 747.8759124087592 Actual: 903.0 Prtdicttd : 747.8759124087592 Actual: 258.0 Prtdicttd : 830.6279069767442 Actual: 589.0 Prtdicttd : 830.6279069767442 Actual: 464.0 Prtdicttd : 747.8759124087592 Actual: 946.0 Prtdicttd : 747.8759124087592 Actual: 835.0 Prtdicttd : 830.6279069767442 Actual: 1099.0 Prtdicttd : 830.6279069767442 Actual: 1319.0 Prtdicttd : 747.8759124087592 Actual: 1137.0 Prtdicttd : 830.6279069767442 Actual: 477.0 Prtdicttd : 747.8759124087592 Actual: 1018.0 Prtdicttd : 830.6279069767442 Actual: 1440.0 Prtdicttd : 816.3382352941177 Actual: 1351.0 Prtdicttd : 830.6279069767442 Actual: 334.0 Prtdicttd : 816.3382352941177 Actual: 796.0 Prtdicttd : 729.2916666666666 Actual: 567.0 Prtdicttd : 729.2916666666666 Actual: 1369.0 Prtdicttd : 747.8759124087592 Actual: 532.0 Prtdicttd : 816.3382352941177 Actual: 1089.0 Prtdicttd : 747.8759124087592 Actual: 448.0 Prtdicttd : 747.8759124087592 Actual: 1046.0 Prtdicttd : 747.8759124087592 Actual: 261.0 Prtdicttd : 816.3382352941177 Actual: 1194.0 Prtdicttd : 747.8759124087592 Actual: 1435.0 Prtdicttd : 747.8759124087592 Actual: 332.0 Prtdicttd : 747.8759124087592 Actual: 557.0 Prtdicttd : 830.6279069767442 Actual: 111.0 Prtdicttd : 747.8759124087592 Actual: 969.0 Prtdicttd : 816.3382352941177 Actual: 570.0 Prtdicttd : 747.8759124087592 Actual: 1261.0 Prtdicttd : 830.6279069767442 Actual: 381.0 Prtdicttd : 747.8759124087592 Actual: 131.0 Prtdicttd : 747.8759124087592 Actual: 314.0 Prtdicttd : 747.8759124087592 Actual: 970.0 Prtdicttd : 747.8759124087592 Actual: 924.0 Prtdicttd : 747.8759124087592 Actual: 748.0 Prtdicttd : 816.3382352941177 Actual: 422.0 Prtdicttd : 747.8759124087592 Actual: 288.0 Prtdicttd : 747.8759124087592 Actual: 296.0 Prtdicttd : 816.3382352941177 Actual: 130.0 Prtdicttd : 816.3382352941177 Actual: 1116.0 Prtdicttd : 747.8759124087592 Actual: 845.0 Prtdicttd : 951.5555555555555 Actual: 1202.0 Prtdicttd : 729.2916666666666 Actual: 106.0 Prtdicttd : 747.8759124087592 Actual: 1490.0 Prtdicttd : 830.6279069767442 Actual: 489.0 Prtdicttd : 747.8759124087592 Actual: 1287.0 Prtdicttd : 747.8759124087592 Actual: 728.0 Prtdicttd : 830.6279069767442 Actual: 115.0 Prtdicttd : 747.8759124087592 Actual: 508.0 Prtdicttd : 830.6279069767442 Actual: 1103.0 Prtdicttd : 747.8759124087592 Actual: 855.0 Prtdicttd : 830.6279069767442 Actual: 461.0 Prtdicttd : 729.2916666666666 Actual: 1365.0 Prtdicttd : 830.6279069767442 Actual: 364.0 Prtdicttd : 747.8759124087592 Actual: 188.0 Prtdicttd : 747.8759124087592 Actual: 667.0 Prtdicttd : 830.6279069767442 Actual: 715.0 Prtdicttd : 747.8759124087592 Actual: 465.0 Prtdicttd : 816.3382352941177 Actual: 648.0 Prtdicttd : 747.8759124087592 Actual: 1199.0 Prtdicttd : 816.3382352941177 Actual: 157.0 Prtdicttd : 747.8759124087592 Actual: 1303.0 Prtdicttd : 830.6279069767442 Actual: 1151.0 Prtdicttd : 951.5555555555555 Actual: 1023.0 Prtdicttd : 747.8759124087592 Actual: 439.0 Prtdicttd : 747.8759124087592 Actual: 427.0 Prtdicttd : 830.6279069767442 Actual: 771.0 Prtdicttd : 830.6279069767442 Actual: 655.0 Prtdicttd : 830.6279069767442 Actual: 369.0 Prtdicttd : 816.3382352941177 Actual: 1275.0 Prtdicttd : 816.3382352941177 Actual: 1283.0 Prtdicttd : 747.8759124087592 Actual: 289.0 Prtdicttd : 747.8759124087592 Actual: 1469.0 Prtdicttd : 830.6279069767442 Actual: 1291.0 Prtdicttd : 816.3382352941177 Actual: 342.0 Prtdicttd : 830.6279069767442 Actual: 1465.0 Prtdicttd : 747.8759124087592 Actual: 990.0 Prtdicttd : 747.8759124087592 Actual: 527.0 Prtdicttd : 816.3382352941177 Actual: 854.0 Prtdicttd : 830.6279069767442 Actual: 1398.0 Prtdicttd : 830.6279069767442 Actual: 543.0 Prtdicttd : 830.6279069767442 Actual: 1064.0 Prtdicttd : 729.2916666666666 Actual: 990.0 Prtdicttd : 747.8759124087592 Actual: 658.0 Prtdicttd : 747.8759124087592 Actual: 979.0 Prtdicttd : 816.3382352941177 Actual: 991.0 Prtdicttd : 816.3382352941177 Actual: 177.0 Prtdicttd : 747.8759124087592 Actual: 792.0 Prtdicttd : 747.8759124087592 Actual: 918.0 Prtdicttd : 747.8759124087592 Actual: 715.0 Prtdicttd : 830.6279069767442 Actual: 641.0 Prtdicttd : 816.3382352941177 Actual: 1108.0 Prtdicttd : 830.6279069767442 Actual: 441.0 Prtdicttd : 729.2916666666666 Actual: 1091.0 Prtdicttd : 816.3382352941177 Actual: 1184.0 Prtdicttd : 747.8759124087592 Actual: 480.0 Prtdicttd : 816.3382352941177 Actual: 304.0 Prtdicttd : 747.8759124087592 Actual: 167.0 Prtdicttd : 951.5555555555555 Actual: 1322.0 Prtdicttd : 747.8759124087592 Actual: 1225.0 Prtdicttd : 816.3382352941177 Actual: 249.0 Prtdicttd : 816.3382352941177 Actual: 350.0 Prtdicttd : 816.3382352941177 Actual: 1247.0 Prtdicttd : 816.3382352941177 Actual: 492.0 Prtdicttd : 747.8759124087592 Actual: 311.0 Prtdicttd : 747.8759124087592 Actual: 1213.0 Prtdicttd : 729.2916666666666 Actual: 404.0 Prtdicttd : 830.6279069767442 Actual: 788.0 Prtdicttd : 830.6279069767442 Actual: 541.0 Prtdicttd : 729.2916666666666 Actual: 1210.0 Prtdicttd : 747.8759124087592 Actual: 928.0 Prtdicttd : 816.3382352941177 Actual: 374.0 Prtdicttd : 747.8759124087592 Actual: 581.0 Prtdicttd : 747.8759124087592 Actual: 888.0 Prtdicttd : 830.6279069767442 Actual: 1479.0 Prtdicttd : 747.8759124087592 Actual: 147.0 Prtdicttd : 830.6279069767442 Actual: 1127.0 Prtdicttd : 729.2916666666666 Actual: 793.0 Prtdicttd : 747.8759124087592 Actual: 1268.0 Prtdicttd : 816.3382352941177 Actual: 734.0 Prtdicttd : 830.6279069767442 Actual: 350.0 Prtdicttd : 747.8759124087592 Actual: 325.0 Prtdicttd : 830.6279069767442 Actual: 674.0 Prtdicttd : 747.8759124087592 Actual: 1459.0 Prtdicttd : 830.6279069767442 Actual: 703.0 Prtdicttd : 830.6279069767442 Actual: 1045.0 Prtdicttd : 830.6279069767442 Actual: 170.0 Prtdicttd : 830.6279069767442 Actual: 495.0 Prtdicttd : 747.8759124087592 Actual: 401.0 Prtdicttd : 747.8759124087592 Actual: 986.0 Prtdicttd : 830.6279069767442 Actual: 1069.0 Prtdicttd : 729.2916666666666 Actual: 1009.0 Prtdicttd : 816.3382352941177 Actual: 1462.0 Prtdicttd : 747.8759124087592 Actual: 573.0 Prtdicttd : 747.8759124087592 Actual: 1496.0 Prtdicttd : 729.2916666666666 Actual: 1252.0 Prtdicttd : 816.3382352941177 Actual: 771.0 Prtdicttd : 816.3382352941177 Actual: 523.0 Prtdicttd : 747.8759124087592 Actual: 492.0 Prtdicttd : 830.6279069767442 Actual: 708.0 Prtdicttd : 816.3382352941177 Actual: 345.0 Prtdicttd : 816.3382352941177 Actual: 798.0 Prtdicttd : 830.6279069767442 Actual: 1380.0 Prtdicttd : 816.3382352941177 Actual: 1238.0 Prtdicttd : 729.2916666666666 Actual: 1371.0 Prtdicttd : 830.6279069767442 Actual: 254.0 Prtdicttd : 816.3382352941177 Actual: 1093.0 Prtdicttd : 747.8759124087592 Actual: 483.0 Prtdicttd : 747.8759124087592 Actual: 1141.0 Prtdicttd : 747.8759124087592 Actual: 719.0 Prtdicttd : 816.3382352941177 Actual: 1470.0 Prtdicttd : 747.8759124087592 Actual: 1300.0 Prtdicttd : 816.3382352941177 Actual: 1169.0 Prtdicttd : 830.6279069767442 Actual: 592.0 Prtdicttd : 747.8759124087592 Actual: 884.0 Prtdicttd : 830.6279069767442 Actual: 954.0 Prtdicttd : 747.8759124087592 Actual: 929.0 Prtdicttd : 747.8759124087592 Actual: 1234.0 Prtdicttd : 951.5555555555555 Actual: 852.0 Prtdicttd : 747.8759124087592 Actual: 156.0 Prtdicttd : 747.8759124087592 Actual: 775.0 Prtdicttd : 747.8759124087592 Actual: 534.0 Prtdicttd : 747.8759124087592 Actual: 921.0 Prtdicttd : 747.8759124087592 Actual: 807.0 Prtdicttd : 830.6279069767442 Actual: 1368.0 Prtdicttd : 830.6279069767442 Actual: 1463.0 Prtdicttd : 747.8759124087592 Actual: 917.0 Prtdicttd : 830.6279069767442 Actual: 1320.0 Prtdicttd : 747.8759124087592 Actual: 329.0 Prtdicttd : 747.8759124087592 Actual: 920.0 Prtdicttd : 747.8759124087592 Actual: 692.0 Prtdicttd : 747.8759124087592 Actual: 155.0 Prtdicttd : 816.3382352941177 Actual: 147.0 Prtdicttd : 830.6279069767442 Actual: 427.0 Prtdicttd : 747.8759124087592 Actual: 827.0 Prtdicttd : 830.6279069767442 Actual: 397.0 Prtdicttd : 816.3382352941177 Actual: 1157.0 Prtdicttd : 747.8759124087592 Actual: 529.0 Prtdicttd : 747.8759124087592 Actual: 977.0 Prtdicttd : 747.8759124087592 Actual: 469.0 Prtdicttd : 747.8759124087592 Actual: 559.0 Prtdicttd : 830.6279069767442 Actual: 1033.0 Prtdicttd : 747.8759124087592 Actual: 241.0 Prtdicttd : 747.8759124087592 Actual: 587.0 Prtdicttd : 830.6279069767442 Actual: 810.0 Prtdicttd : 816.3382352941177 Actual: 602.0 Prtdicttd : 951.5555555555555 Actual: 781.0 Prtdicttd : 729.2916666666666 Actual: 1079.0 Prtdicttd : 816.3382352941177 Actual: 1084.0 Prtdicttd : 747.8759124087592 Actual: 188.0 Prtdicttd : 830.6279069767442 Actual: 766.0 Prtdicttd : 747.8759124087592 Actual: 857.0 Prtdicttd : 747.8759124087592 Actual: 442.0 Prtdicttd : 816.3382352941177 Actual: 566.0 Prtdicttd : 830.6279069767442 Actual: 213.0 Prtdicttd : 747.8759124087592 Actual: 1495.0 Prtdicttd : 747.8759124087592 Actual: 376.0 Prtdicttd : 830.6279069767442 Actual: 410.0 Prtdicttd : 747.8759124087592 Actual: 470.0 Prtdicttd : 830.6279069767442 Actual: 430.0 Prtdicttd : 747.8759124087592 Actual: 210.0 Prtdicttd : 729.2916666666666 Actual: 1383.0 Prtdicttd : 747.8759124087592